mirror of
https://github.com/OPM/ResInsight.git
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150 lines
3.5 KiB
C++
150 lines
3.5 KiB
C++
/////////////////////////////////////////////////////////////////////////////////
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//
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// Copyright (C) 2011-2012 Statoil ASA, Ceetron AS
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//
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// ResInsight is free software: you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// ResInsight is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or
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// FITNESS FOR A PARTICULAR PURPOSE.
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//
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// See the GNU General Public License at <http://www.gnu.org/licenses/gpl.html>
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// for more details.
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//
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/////////////////////////////////////////////////////////////////////////////////
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#pragma once
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#include "cvfBase.h"
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#include "cvfObject.h"
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#include "cvfCollection.h"
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#include "RigEclipseCase.h"
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#include <vector>
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#include <math.h>
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class RigStatisticsEvaluator
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{
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public:
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RigStatisticsEvaluator(const std::vector<double>& values)
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: m_values(values),
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m_min(HUGE_VAL),
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m_max(-HUGE_VAL),
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m_mean(cvf::UNDEFINED_DOUBLE),
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m_dev(0.0)
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{
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}
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void getStatistics(double& min, double& max, double& mean, double& dev)
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{
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evaluate();
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min = m_min;
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max = m_max;
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mean = m_mean;
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dev = m_dev;
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}
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private:
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void evaluate()
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{
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double sum = 0.0;
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double sumSquared = 0.0;
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size_t validValueCount = 0;
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for (size_t i = 0; i < m_values.size(); i++)
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{
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double val = m_values[i];
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if (val == HUGE_VAL) continue;
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validValueCount++;
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if (val < m_min) m_min = val;
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if (val > m_max) m_max = val;
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sum += val;
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sumSquared += (val * val);
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}
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if (validValueCount > 0)
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{
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m_mean = sum / validValueCount;
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// http://en.wikipedia.org/wiki/Standard_deviation#Rapid_calculation_methods
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// Running standard deviation
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double s0 = validValueCount;
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double s1 = sum;
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double s2 = sumSquared;
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m_dev = cvf::Math::sqrt( (s0 * s2) - (s1 * s1) ) / s0;
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}
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}
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private:
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const std::vector<double>& m_values;
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double m_min;
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double m_max;
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double m_mean;
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double m_dev;
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};
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class RigStatisticsConfig
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{
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public:
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RigStatisticsConfig()
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: m_min(true),
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m_max(true),
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m_mean(true),
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m_stdDev(true)
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{
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}
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public:
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bool m_min;
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bool m_max;
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bool m_mean;
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bool m_stdDev;
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};
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class RigStatistics
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{
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public:
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RigStatistics(cvf::Collection<RigEclipseCase>& sourceCases,
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const std::vector<size_t>& timeStepIndices,
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const RigStatisticsConfig& statisticsConfig,
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RigEclipseCase* destinationCase);
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void evaluateStatistics(RimDefines::ResultCatType resultType, const QStringList& resultNames);
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void debugOutput(RimDefines::ResultCatType resultType, const QString& resultName, size_t timeStepIdx);
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private:
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void computeActiveCellUnion();
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void addNamedResult(RigReservoirCellResults* cellResults, RimDefines::ResultCatType resultType, const QString& resultName, size_t activeCellCount);
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private:
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cvf::Collection<RigEclipseCase> m_sourceCases;
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std::vector<size_t> m_timeStepIndices;
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size_t m_globalCellCount;
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RigStatisticsConfig m_statisticsConfig;
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cvf::ref<RigEclipseCase> m_destinationCase;
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};
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